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wheelstreet.com
SUMMER 2017

wheelstreet.com

Weak AI visibility with 25 of 48 criteria passing. Biggest gap: llms.txt file.

49/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Canonical URL Strategy, Content Cannibalization, and Duplicate Content Blocks. Priority gaps: llms.txt File, Internal Linking Structure, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#6052of 13363
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How to Improve

Current
49/100
Projected
78/100
41Total Fixes
11Quick Wins
~83hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingEnhance author and expert schemaExtend schema to inner pagesImprove query-answer alignmentMake pages solve the user task fasterMake content creators clearly visibleAdd answer-first content placementClarify entity boundariesReduce extraction friction
Fix HTML structure and meta tags
critical|medium
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
low|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

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